my-thought-experiments Goto Github PK

ai-for-everyone

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone – especially your non-technical colleagues – to take.

ai-for-good-specialization

Learn AI's role in addressing complex challenges. Build skills combining human and machine intelligence for positive real-world impact using AI

building-systems-with-the-chatgpt-api

In Building Systems With The ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model.

chatgpt-prompt-engineering-for-developers

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

docker-templates

dsa_go

Data Structures and Algorithms (Golang)

dsa_js

Data Structures and Algorithms (JavaScript)

dsa_py

Data Structures and Algorithms (Python)

evaluating-and-debugging-generative-ai

Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task.

exp-models

explore-h2o

A collection of documents and programs to learn about Data Science and ML using H2O.

explore-nlp

explore-onnx

explore-recommendation-system

A collection of documents and programs to learn about recommendation system

explore-reinforcement-learning

A collection of documents and programs to learn about reinforcement learning

explore-scikit-learn

A collection of documents and programs to learn about Data Science and ML using Scikit-learn.

explore-supervised-learning

A collection of documents and programs to learn about supervised learning

explore-tensorflow

A collection of documents and programs to learn about Data Science and ML using TensorFlow.

explore-tensorflow-quantum

explore-unsupervised-learning

A collection of documents and programs to learn about unsupervised learning

generative-ai-with-llms

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

jupyter-optuna

Extension to onboard Optuna on Jupyter notebook/lab

langchain-chat-with-your-data

Start building practical applications that allow you to interact with data using LangChain and LLMs.

langchain-for-llm-application-development

In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.

llm

mathematics-for-machine-learning-and-data-science-specialization

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

medium

ml-tools

A collections of documents and practice examples on ML tools like pandas, numpy etc. on datasets.

mlg

List of examples on ML in general

mysite

My personal website source code https://snowyowl.gatsbyjs.io/